A systematic literature review for network intrusion detection system (IDS)
OH Abdulganiyu, T Ait Tchakoucht… - International journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …
individual and corporate data passing through internet has increasingly grown. With gaps in …
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute
an extensively-researched machine learning sub-field for the creation of synthetic data …
an extensively-researched machine learning sub-field for the creation of synthetic data …
Transfer learning for improving speech emotion classification accuracy
The majority of existing speech emotion recognition research focuses on automatic emotion
detection using training and testing data from same corpus collected under the same …
detection using training and testing data from same corpus collected under the same …
A Hybrid Semi‐Supervised Anomaly Detection Model for High‐Dimensional Data
H Song, Z Jiang, A Men, B Yang - Computational intelligence …, 2017 - Wiley Online Library
Anomaly detection, which aims to identify observations that deviate from a nominal sample,
is a challenging task for high‐dimensional data. Traditional distance‐based anomaly …
is a challenging task for high‐dimensional data. Traditional distance‐based anomaly …
Deep learning approaches for speech emotion recognition: State of the art and research challenges
Speech emotion recognition (SER) systems identify emotions from the human voice in the
areas of smart healthcare, driving a vehicle, call centers, automatic translation systems, and …
areas of smart healthcare, driving a vehicle, call centers, automatic translation systems, and …
Involvement of machine learning for breast cancer image classification: a survey
AA Nahid, Y Kong - Computational and mathematical methods …, 2017 - Wiley Online Library
Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …
engineering of natural image classification techniques and Artificial Intelligence methods …
HF-SPHR: Hybrid features for sustainable physical healthcare pattern recognition using deep belief networks
The daily life-log routines of elderly individuals are susceptible to numerous complications in
their physical healthcare patterns. Some of these complications can cause injuries, followed …
their physical healthcare patterns. Some of these complications can cause injuries, followed …
Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm
F Daneshfar, SJ Kabudian - Multimedia Tools and Applications, 2020 - Springer
Abstract In recent years, Speech Emotion Recognition (SER) has received considerable
attention in affective computing field. In this paper, an improved system for SER is proposed …
attention in affective computing field. In this paper, an improved system for SER is proposed …
A systematic and comprehensive survey of recent advances in intrusion detection systems using machine learning: Deep learning, datasets, and attack taxonomy
Recently, intrusion detection systems (IDS) have become an essential part of most
organisations' security architecture due to the rise in frequency and severity of network …
organisations' security architecture due to the rise in frequency and severity of network …